code: def _make_C(channels_7x7, prefix, norm_layer, norm_kwargs):
      out = HybridConcurrent(axis=1, prefix=prefix)
      with out.name_scope():
          out.add(
              _make_branch(
                  None, norm_layer, norm_kwargs, (192, 1, None, None)
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (channels_7x7, 1, None, None),
                  (channels_7x7, (1, 7), None, (0, 3)),
                  (192, (7, 1), None, (3, 0)),
              )
          )
          out.add(
              _make_branch(
                  None,
                  norm_layer,
                  norm_kwargs,
                  (channels_7x7, 1, None, None),
                  (channels_7x7, (7, 1), None, (3, 0)),
                  (channels_7x7, (1, 7), None, (0, 3)),
                  (channels_7x7, (7, 1), None, (3, 0)),
                  (192, (1, 7), None, (0, 3)),
              )
          )
          out.add(
              _make_branch(
                  "avg", norm_layer, norm_kwargs, (192, 1, None, None)
              )
          )
      return out
  
file_path: gluon-cv/gluoncv/model_zoo/inception.py
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.contrib.nn import HybridConcurrent
label_desc: Use image node_id 5 for calling a global function with example usage: _make_C(channels_7x7, prefix, norm_layer, norm_kwargs) and returns: out